Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning

Research output: Contribution to journal › Article › peer-review

45 Scopus citations

Original language	Undefined/Unknown
Journal	Transportation Research Record
DOIs	https://doi.org/10.1177/0361198118794735
State	Published - 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{ff7982fa388a43d5824fd4f6b7a3b6ab,

title = "Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning",

author = "S. Choi and H. Yeo and J. Kim",

year = "2018",

doi = "10.1177/0361198118794735",

language = "Undefined/Unknown",

journal = "Transportation Research Record",

issn = "2169-4052",

publisher = "SAGE Publications Ltd",

}

TY - JOUR

T1 - Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning

AU - Choi, S.

AU - Yeo, H.

AU - Kim, J.

PY - 2018

Y1 - 2018

UR - https://www.scopus.com/pages/publications/85060957570

U2 - 10.1177/0361198118794735

DO - 10.1177/0361198118794735

M3 - Article

SN - 2169-4052

JO - Transportation Research Record

JF - Transportation Research Record

ER -